Linguistic Strategies in AI-Generated Marketing Content: A Policy Framework for Global Brands
DOI:
https://doi.org/10.71435/690429Keywords:
AI-Generated Marketing , Linguistic Strategies , Language Policy, Ethical Transparency , Language Policy FrameworkAbstract
Purpose: This study examines linguistic strategies in AI-generated marketing content and proposes a Language Policy Framework for Global Brands to ensure ethical, culturally adaptive, and consumer-centric communication.
Subjects and Methods: A qualitative descriptive analysis was employed, reviewing existing literature and industry practices to assess AI-driven personalization, cultural localization, and ethical transparency in marketing communication.
Results: AI enhances engagement through personalization and sentiment adaptation, but challenges include linguistic bias, cultural misalignment, and ethical concerns. Transparency and localization improve trust and consumer relationships.
Conclusions: A structured Language Policy Framework integrating transparency, cultural sensitivity, and multilingual consistency is essential for responsible AI deployment in global marketing. Future research should explore hybrid AI-human collaboration for optimal brand communication.
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